Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/192631
Title: Off-line SPE LC-LRMS Polyphenolic Fingerprinting and Chemometrics to Classify and Authenticate Spanish Honey
Author: García-Seval, Víctor
Saurina, Javier
Sentellas, Sonia
Núñez Burcio, Oscar
Keywords: Polifenols
Quimiometria
Polyphenols
Chemometrics
Issue Date: 13-Nov-2022
Publisher: MDPI
Abstract: The feasibility of non-targeted off-line SPE LC-LRMS polyphenolic fingerprints to address the classification and authentication of Spanish honey samples based on both botanical origin (blossom- and honeydew-honeys) and geographical production region was evaluated. With this aim, 136 honey samples belonging to different botanical varieties (multifloral and monofloral) obtained from different Spanish geographical regions with specific climatic conditions were analyzed. Polyphenolic compounds were extracted by off-line solid phase extraction (SPE) using HLB (3 mL, 60 mg) cartridges. The obtained extracts were then analyzed by C18 reversed-phase LC coupled to low-resolution mass spectrometry in a hybrid quadrupole-linear ion trap mass analyzer and using electrospray in negative ionization mode. Principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were employed to assess the pattern recognition capabilities of the obtained fingerprints to address honey classification and authentication. In general, a good sample discrimination was accomplished by PLS-DA, being able to differentiate both blossom-honey and honeydew-honey samples according to botanical varieties. Multiclass predictions by cross-validation for the set of blossom-honey samples showed sensitivity, specificity, and classification ratios higher than 60%, 85%, and 87%, respectively. Better results were obtained for the set of honeydew-honey samples, exhibiting 100% sensitivity, specificity, and classification ratio values. The proposed fingerprints demonstrated also to be good honey chemical descriptors to deal with climatic and geographical issues. Characteristic polyphenols of each botanical variety were tentatively identified by LC-MS/MS in multiple reaction monitoring mode to propose possible honey markers for future experiments (i.e., naringin for orange/lemon blossom honeys, syringic acid in thyme honeys, or galangin in rosemary honeys)
Note: Reproducció del document publicat a: https://doi.org/10.3390/molecules27227812
It is part of: Molecules, 2022, vol. 27, num. 22, p. 7812
URI: http://hdl.handle.net/2445/192631
Related resource: https://doi.org/10.3390/molecules27227812
ISSN: 1420-3049
Appears in Collections:Articles publicats en revistes (Enginyeria Química i Química Analítica)

Files in This Item:
File Description SizeFormat 
726732.pdf3.42 MBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons